广告合作
MCP.so
登录

Memory Bank MCP Server

@tuncer-byte

代码仓库

基本信息

分类

记忆与知识

传输方式

stdio

作者

tuncer-byte

关于 Memory Bank MCP Server

Memory Bank is an MCP server that helps teams create, manage, and access structured project documentation. It generates and maintains a set of interconnected Markdown documents that capture different aspects of project knowledge, from high-level goals to technical details and day

Memory Bank MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "memoryBank": {
      "command": "node",
      "args": [
        "/path/to/memory-bank-mcp/dist/index.js"
      ],
      "env": {
        "GEMINI_API_KEY": ""
      }
    }
  }
}

Memory Bank MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Memory Bank MCP?

Memory Bank MCP is an MCP server that helps teams create, manage, and access structured project documentation. It generates and maintains interconnected Markdown documents capturing all aspects of project knowledge, from high-level goals to technical details and daily progress. It is designed to be accessed by MCP-compatible clients and LLM agents.

How to use Memory Bank MCP?

Install via git clone and npm install. Configure with a Gemini API key via a .env file or the mcp.json configuration. Run in development mode with npm run dev or in production mode after npm run build && npm run start. Add the server to your MCP client’s mcp.json to expose its tools for initialization, document updates, querying, and export.

Key features of Memory Bank MCP

  • AI-generated documentation using the Gemini API
  • Structured knowledge system with six core document types
  • Implements the Model Context Protocol for LLM integration
  • Customizable storage location for the Memory Bank directory
  • Pre-defined templates for project brief, product context, and more
  • Advanced querying with context-aware relevance ranking

Use cases of Memory Bank MCP

  • Initialize a new project memory bank with all document templates
  • Update project documentation manually or regenerate it with AI
  • Search across all Memory Bank documents for relevant context
  • Export Memory Bank documents in JSON or folder format

常见问题

1

Is Memory Bank MCP a standalone application?

No, it is an MCP server—it is meant to be connected to MCP-compatible clients such as Claude Desktop or custom LLM agents, not run as a standalone app.

2

What runtime and environment does Memory Bank MCP require?

Node.js is required. Dependencies are installed via `npm install`. A Gemini API key is needed for AI-powered document generation and updates.

3

Where does Memory Bank MCP store project data?

Data is stored in a user-specified directory. The `location` parameter during initialization determines where the memory-bank folder is created.

4

What API key is needed for AI features?

A Gemini API key is required. It can be provided through a `.env` file or the `GEMINI_API_KEY` environment variable in the MCP client configuration.

5

How do I expose Memory Bank MCP tools to my client?

Add the server definition to your MCP client’s `mcp.json` file, specifying the command (`node`), the path to the built `index.js`, and optionally the Gemini API key. The server then exposes tools like `initialize_memory_bank`, `update_document`, `query_memory_bank`, and `export_memory_bank`.

评论

记忆与知识 分类下的更多 MCP 服务器

priostack

ideaswave

Open-source Python SDK & MCP interface for Priostack Agent Context Network (ACN). Zero-setup, autonomous memory orchestration for AI agents.

Scento Perfume API (MCP server): free fragrance API, no key

Scento

Scento Perfume API is a free fragrance API and perfume notes database for developers and AI agents. Search 1,500+ perfumes and 400+ ingredients, compare scents, find similar perfumes, map scent families and build occasio

Stele

Stele-Dev

Shared memory for AI coding agents. Claude Code, Cursor and Codex read your project's decisions, lessons and tasks before they act.

Context7 MCP - Up-to-date Docs For Any Cursor Prompt

upstash

Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors

58.7K

Orcha

westonhancock

Orcha is a unified context layer for AI tools and agents. It stores and indexes and exposes organizational, team, or individual knowledge. Files, structured databases, and connected sources live in one workspace, and age

广告合作